A Process Capability Analysis Method Using Adjusted Modified Sample Entropy

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dc.contributor.author Koppel, Siim
dc.contributor.author Chang, Shing I.
dc.date.accessioned 2017-11-30T21:49:40Z
dc.date.available 2017-11-30T21:49:40Z
dc.identifier.uri http://hdl.handle.net/2097/38392
dc.description Citation: Koppel, S., & Chang, S. I. (2016). A Process Capability Analysis Method Using Adjusted Modified Sample Entropy. Procedia Manufacturing, 5, 122-131. doi:10.1016/j.promfg.2016.08.012
dc.description.abstract The evolution of sensors and data storage possibilities has created possibilities for more precise data collection in processes. However, process capability analysis has become more difficult. Traditional methods, such as process capability ratios, cannot handle large volumes of process data over time because these methods assume normal process distribution that is not changing. Entropy methods have been proposed for process capability studies because entropy is not dependent on distribution and can therefore provide accurate readings in changing distribution environments. The goal of this paper is to explore the use of entropy-based methods, specifically modified Sample Entropy to identify process variations over time. A study based on simulated data sets showed that the proposed method provides process capability information. © 2016 The Authors
dc.relation.uri https://doi.org/10.1016/j.promfg.2016.08.012
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Admse
dc.subject Adsen
dc.subject Complex Manufacturing Processes
dc.subject Entropy
dc.subject Msampen
dc.subject Process Capability Analysis
dc.title A Process Capability Analysis Method Using Adjusted Modified Sample Entropy
dc.type Article
dc.date.published 2016
dc.citation.doi 10.1016/j.promfg.2016.08.012
dc.citation.epage 131
dc.citation.issn 2351-9789
dc.citation.jtitle Procedia Manufacturing
dc.citation.spage 122
dc.citation.volume 5
dc.contributor.authoreid changs
dc.contributor.kstate Chang, Shing I.


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Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) Except where otherwise noted, the use of this item is bound by the following: Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

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